Research Engineers, Post-Training

Distyl
San Francisco, New York
Workplace: HybridFull timeUSD 150,000 - 250,000 annuallyFunction: Education & TrainingSkills: ["Communication","Collaboration","Problem-solving","Curiosity","Adaptability"]

Bridge frontier AI research and production systems by designing and implementing post-training workflows, datasets, evaluation suites, and feedback loops. Collaborate with AI Researchers and AI Engineers to turn new techniques into robust, production-ready solutions, while analyzing behavior and communicating results to stakeholders. Hybrid, multi-city role with in-office collaboration 3+ days a week (SF/New York).

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FursaFursa
Distyl
Distyl
2 months ago

Research Engineers, Post-Training

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Bridge frontier AI research and production systems by designing and implementing post-training workflows, datasets, evaluation suites, and feedback loops. Collaborate with AI Researchers and AI Engineers to turn new techniques into robust, production-ready solutions, while analyzing behavior and communicating results to stakeholders. Hybrid, multi-city role with in-office collaboration 3+ days a week (SF/New York).
Location: San Francisco, New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Education & Training

Key Responsibilities

  • •Design and run post-training workflows that improve the behavior, reliability, and usefulness of AI systems
  • •Develop datasets, preference signals, evaluation suites, reward models, fine-tuning workflows, and feedback loops for applied AI use cases
  • •Investigate how different post-training techniques affect system behavior across enterprise workflows and production constraints
  • •Build infrastructure for experimentation, model comparison, regression testing, and behavior analysis
  • •Partner with AI Researchers to explore new post-training methods and with AI Engineers to apply successful techniques in deployed systems

Pay and Benefits

Salary: USD 150,000 - 250,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceVision401kCommuter BenefitsEquity

Key Requirements

  • •Experience improving model behavior with techniques such as fine-tuning, preference optimization, reinforcement learning, reward modeling, synthetic data, evaluations, or related post-training methods
  • •Strong programming and experimentation skills to build training and evaluation pipelines, run controlled experiments, analyze results, and iterate quickly
  • •Research-oriented builder mindset focused on understanding why behavior changes, not just benchmarks
  • •AI systems mindset recognizing that model behavior is shaped by data, prompts, tools, retrieval, evaluators, and deployment context
  • •AI-native working style with daily use of AI tools to accelerate coding, analysis, debugging, experimentation, and research exploration
Experience:AIProduction systemsApplied AI
Skills:CommunicationCollaborationProblem-solvingCuriosityAdaptability
Tech Stack:PythonReinforcement learningEvaluation frameworksFine-tuningReward modeling

Company Brief

Distyl
Builds enterprise-grade AI systems and integration services (Distillery) to help Fortune 500 companies become AI-native, delivering measurable operational impact across healthcare, telecom, manufacturing, and finance.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: San Francisco, United States
Founded: 2022
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